This paper is in the following e-collection/theme issue:

Reviews in AI (19) Applications of AI (246) Quality/Credibility of eHealth Information and Trust Issues (638) Artificial Intelligence (1996) Ethics, Privacy, and Legal Issues (592) Ethical, Legal, and Social Issues in AI (91)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53207, first published .
How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review

How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review

How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review

Authors of this article:

Rikard Rosenbacke1 Author Orcid Image ;   Åsa Melhus2 Author Orcid Image ;   Martin McKee3 Author Orcid Image ;   David Stuckler4 Author Orcid Image
Article Authors Cited by (28) Tweetations Metrics

Journals

  1. Kelly A, Noctor E, Ryan L, van de Ven P. The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study. Journal of Medical Internet Research 2025;27:e70131 View
  2. Li P, Wang Y, Zhao R, Hao L, Chai W, Jiying C, Feng Z, Ji Q, Zhang G. The Application of artificial intelligence in periprosthetic joint infection. Journal of Advanced Research 2025 View
  3. Liu J, Liu Z, Liu C, Sun H, Li X, Yang Y. Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review. Diabetes/Metabolism Research and Reviews 2025;41(4) View
  4. de Oliveira A, Azevedo J, Ruback L, Moreira R, Teixeira S, Teles A. Effect of Explainable Artificial Intelligence on Trust of Mental Health Professionals in an AI-Based System for Suicide Prevention. IEEE Access 2025;13:60987 View
  5. Alnazari N, Alanazi O, Alosaimi M, Alanazi Z, Alhajeri Z, Alhussaini K, Alanazi A, Azzam A. Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation. BMC Nephrology 2025;26(1) View
  6. Vorbach S, Putz F, Ganswindt U, Janssen S, Grohmann M, Knippen S, Heinemann F, Shafie R, Peeken J. Contouring in transition: perceptions of AI-based autocontouring by radiation oncologists and medical physicists in German-speaking countries. Strahlentherapie und Onkologie 2025 View
  7. Paliwal G, Kumar A, Sharma K, Bhargava D, Shrimal V. Transformative impact of explainable artificial intelligence: bridging complexity and trust. Discover Artificial Intelligence 2025;5(1) View
  8. Al Meslamani A. Management of polypharmacy through deprescribing in older patients: a review of the role of AI tools. Expert Review of Clinical Pharmacology 2025;18(6):333 View
  9. Niyogi S, Nag D, Shah M, Swain A, Naskar C, Srivastava P, Kant R. Role of artificial intelligence in congenital heart disease. World Journal of Clinical Pediatrics 2025;14(3) View
  10. Regmi M, Yang C. Editorial: Integrated clinical management and neurorehabilitation for lumbosacral spinal diseases. Frontiers in Neurology 2025;16 View
  11. Park S. Rethinking Clinical AI Applications in Stroke - Pitfalls, Misconceptions, and Directions for Responsible Use. Journal of Neurosonology and Neuroimaging 2025;17(1):1 View
  12. Marano G, Rossi S, Marzo E, Ronsisvalle A, Artuso L, Traversi G, Pallotti A, Bove F, Piano C, Bentivoglio A, Sani G, Mazza M. Writing the Future: Artificial Intelligence, Handwriting, and Early Biomarkers for Parkinson’s Disease Diagnosis and Monitoring. Biomedicines 2025;13(7):1764 View
  13. Petrušić I. Digital phenotyping for migraine: A game-changer for research and management. Cephalalgia 2025;45(7) View
  14. Beger J. Not someone, but something: Rethinking trust in the age of medical AI. European Journal of Radiology Artificial Intelligence 2025;3:100038 View
  15. Wang E, Smith J, Katz S, Bishay M, Dissanayake T, Jones N, Reddy S, Sholter D, Soo J, Ye C. Adoption and perception of LLM-based chatbots in health care: an exploratory cross-sectional survey of individuals with rheumatic diseases. Rheumatology Advances in Practice 2025;9(3) View
  16. Waldock W, Gilchrist M, Ashrafian H, Darzi A, Franklin B. A mixed methods evaluation of an antimicrobial prescribing clinical decision support system app. npj Antimicrobials and Resistance 2025;3(1) View
  17. Li J, Jing X, Zhang Q, Wang X, Wang L, Shan J, Zhou Z, Fan L, Gong X, Sun X, He S. Multimodal artificial intelligence for subepithelial lesion classification and characterization: a multicenter comparative study (with video). BMC Medical Informatics and Decision Making 2025;25(1) View
  18. Wang C, Chen M, Wang Y, Shi M. Integrating tumor location into artificial intelligence-based prognostic models in cancer. World Journal of Clinical Oncology 2025;16(8) View
  19. Parmar U, Morya A, Gupta P, Arora A, Verma N. Role of artificial intelligence-based ocular biomarkers in hepatobiliary diseases: A scoping review. World Journal of Hepatology 2025;17(8) View
  20. Abbas Q, Jeong W, Lee S. Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges. Healthcare 2025;13(17):2154 View
  21. Calderone A, Latella D, La Fauci E, Puleo R, Sergi A, De Francesco M, Mauro M, Foti A, Salemi L, Calabrò R. Artificial Intelligence-Driven Neuromodulation in Neurodegenerative Disease: Precision in Chaos, Learning in Loss. Biomedicines 2025;13(9):2118 View
  22. Yu Y, Gomez-Cabello C, Haider S, Genovese A, Prabha S, Trabilsy M, Collaco B, Wood N, Bagaria S, Tao C, Forte A. Enhancing Clinician Trust in AI Diagnostics: A Dynamic Framework for Confidence Calibration and Transparency. Diagnostics 2025;15(17):2204 View
  23. Lauretti A, Borgi M, Versaci F. Artificial intelligence in coronary plaque characterization and risk assessment: from images to impact. Vessel Plus 2025 View
  24. Barrett R, Lawler B, Liu S, Park W, Davoodi M, Martin B, Kalyanam S, Makker K, Kuiper J, Aziz K. Transforming neonatal care through informatics: A review of artificial intelligence, data, and implementation considerations. Seminars in Perinatology 2025:152144 View
  25. S A, R K, K S. Explainable AI for the diagnosis of neurodegenerative diseases: Unveiling methods, opportunities, and challenges. Computer Science Review 2026;59:100821 View

Books/Policy Documents

  1. Nnawuchi U, George C. Progress in Artificial Intelligence. View
  2. Nayak A, Satpathy I, Jain V. Applied AI and Computational Intelligence in Diagnostics and Decision-Making. View

Conference Proceedings

  1. Kollerup N, Bahodi M, Cox S, van Berkel N. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Enhancing Self-Efficacy in Health Self-Examination through Conversational Agent's Encouragement View